Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2212.01539.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-16T13:37:50.765735Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T13:37:56.506781Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 2becb199-885b-4631-98ed-900c7cfbfe31 · inbound
Fundamental Limitations of Favorable Privacy-Utility Guarantees for DP-SGD cites this paper.
Fundamental Limitations of Favorable Privacy-Utility Guarantees for DP-SGD Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T13:37:56.509454Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation eb5d90cc-60b0-4e66-b134-5c3b19a9fdae · inbound
Mitigating Membership Inference in Intermediate Representations with Differentially Private Training cites this paper.
Mitigating Membership Inference in Intermediate Representations with Differentially Private Training Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T19:26:31.270195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.